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253results about How to "Efficient acquisition" patented technology

Compressed sensing signal collection method based on filtering

InactiveCN103036573AEfficient acquisitionSimple hardware implementationCode conversionOptimization problemCompressed sensing
A compressed sensing signal collection method based on filtering includes the following steps: firstly, sensing equipment is used for collecting target signals x (t) in an independent sampling period and carries out digital quantification on the signals in an analog/digit (A/D) mode. Secondly, the dimension of the quantified signals x (i) is reduced. Lastly, the signals with the reduced dimension are reconfigured. The t means the sampling time, and the i means the sequence of the quantified signals. The detailed method of dimension-reduction of the quantified signals is that the quantified signals respond to a difference equation of a filter through finite impulse, and the difference equation is that i= 1, ..., M, wherein h (0), ..., h (L-1) is the coefficients of the filter. The design constructs a following toeplitz measurement array based on a compressed sensing signal collection framework of the filter, and the toeplitz measurement array is that i= 1, ..., M is observed, wherein b1,..., bL are treated as coefficients of the filter. The singular value of a sub-array phi FT is an arithmetic value of a characteristic value of a Gramm array which is that G (phi F, T) = phi ` FT phi FT, all the characteristic values that lambada i belongs to (1- delta K, 1+ delta K), wherein i= 1, ..., T of G (phi F, T) are tested, and the original signals are reconfigured by solving the following l1 optimization problems.
Owner:NANJING UNIV OF TECH

Method of quickly segmenting moving target in non-restrictive scene based on full convolution network

ActiveCN106296728AOvercoming the disadvantages of incomplete target segmentationUnlimited sizeImage enhancementImage analysisGround truthSample image
The invention relates to a method of quickly segmenting a moving target in a non-restrictive scene based on a full convolution network, which belongs to the technical field of video object segmentation. The method comprises steps: firstly, framing is carried out on the video, and a result after framing is used for making a Ground Truth set S for a sample image; a full convolution neural network trained through a PASCAL VOC standard library is adopted to predict a target in each frame of the video, a deep feature estimator for an image foreground target is acquired, target maximum intra-class likelihood mapping information in all frames is obtained hereby, and initial prediction on the foreground and the background in the video frames is realized; and then, through a Markov random field, deep feature estimators for the foreground and the background are refined, and thus, segmentation on the video foreground moving target in the non-restrictive scene video can be realized. The information of the moving target can be effectively acquired, high-efficiency and accurate segmentation on the moving target can be realized, and the analysis precision of the video foreground-background information is improved.
Owner:KUNMING UNIV OF SCI & TECH

Multi-level-point-set characteristic extraction method applicable to ground laser radar point cloud classification

The invention relates to a multi-level-point-set characteristic extraction method applicable to ground laser radar point cloud classification. Based on point set characteristics, high-precision classification of four kinds of common ground features including pedestrians, trees, buildings and automobiles and the like in a scene is realized. Firstly, point sets are constructed and a point cloud is re-sampled into a point cloud of different scales and thus point sets which are different in size and provided with layered structures are formed through clustering and characteristics of each point in the point sets are obtained; next, an LDA (Latent Dirichlet Allocation ) method is adopted to synthesizing point-based characteristics of all points in each point set into shape characteristics of the point sets; and at last, based on the shape characteristics of the point set, an Adaboost classifier is adopted to train the point sets of different levels so as to obtain a classification result of the whole point cloud. The multi-level-point-set characteristic extraction method has a higher classification precision and has a classification precision, which is far higher than that of point-based characteristics, Bag-of-Word-based characteristics and characteristics based on probabilistic latent semantic analysis (PLSA), in aspect of pedestrians and vehicles.
Owner:BEIJING NORMAL UNIVERSITY

Unconventional oil and gas reservoir horizontal well section three-dimensional rock mass mechanics modeling method and device

InactiveCN103258091ASolve the problem that interwell information cannot be obtainedEasy accessSpecial data processing applicationsThree-dimensional spaceMechanical models
The invention provides an unconventional oil and gas reservoir horizontal well section three-dimensional rock mass mechanical modeling method and device. The method includes the steps of determining an unconventional oil and gas reservoir horizontal well section object region; obtaining three-dimensional earthquake prestack gathered data in the object region; conducting elastic parametric inversion by adopting the three-dimensional earthquake prestack gathered data and obtaining a three-dimensional space elastic parameter data body in the object region, wherein the three-dimensional space elastic parameter data body comprises a rock mass poisson ratio and Young modulus; calculating a rock mass brittleness index according to the rock mass poisson ratio and the Young modulus; establishing a rock mass mechanical parameter model based on three-dimensional grid nodes according to the three-dimensional space elastic parameter data body and the rock mass brittleness index. The unconventional oil and gas reservoir horizontal well section three-dimensional rock mass mechanical modeling method and device can simply, effectively and accurately obtain an unconventional oil and gas reservoir rock mass mechanical model.
Owner:PEKING UNIV

Entanglement imaging system and method based on dual-compression coincidence measurements

The invention relates to an entanglement imaging system based on dual-compression coincidence measurements. The system comprises a laser, a nonlinear crystal, a narrow-band filter, a beam splitter, a first group of imaging lenses, a second group of imaging lenses, a first spatial light modulator, a second spatial light modulator, a first group of light converging lenses, a second group of light converging lenses, a first point detector, a second point detector, a coincidence measurement circuit and an algorithm module. The laser generates pump light, an entanglement photon pair is produced through nonlinear crystal and is divided into a signal light path and an idle light path after passing through the narrow-band filter to be projected onto the first spatial light modulator and the second spatial light modulator respectively; light is modulated, the modulated light is collected onto the first point detector and the second point detector to be converted into electric signals which are input in the coincidence measurement circuit, and a coincidence measurement value is output; and the algorithm module rebuilds spatial correlation coefficient distribution through a compressive sensing algorithm according to a measurement matrix and the measurement value.
Owner:NAT SPACE SCI CENT CAS

Buoy data information transfer device based on unmanned ship system

The invention relates to a buoy data information transfer device based on an unmanned ship system. The device is based on an unmanned ship system; the device includes an industrial control host internally provided with a WIFI module, and a camera shooting module, a radar module and a Beidou module which are externally connected with the industrial control host, and a circuit board provided with a motor module to control a propeller and a steering engine; the host also includes executing programs with the following steps: obtaining unmanned ship location information and a target task instruction through the Beidou module, planning a navigation trajectory, and issuing a straight-going control instruction to the circuit board; collecting image information of the camera shooting module, and identifying a buoy; opening the radar module to detect the obstacle condition of surrounding environment of the unmanned ship; determining the position of the buoy, and issuing a detouring control instruction to the circuit board; and opening the WIFI module to receive data information stored in the buoy and storing the data information to an external storage device. The buoy data information transfer device based on the unmanned ship system can obtain data information stored in the buoy at short range and navigates back to a shoreside base station to perform data uploading, thereby improving efficiency of an information acquisition process.
Owner:SHANGHAI OCEAN UNIV

Onboard panorama monitoring system of unmanned aerial vehicle

The invention discloses an onboard panorama monitoring system of an unmanned aerial vehicle. An aerial remote sensing image is transmitted to the ground in real time, and then the real-time panorama remote sensing image monitoring system is generated. The system is composed of the unmanned aerial vehicle, a remote sensor subsystem, an information transmission and ground safeguard subsystem and a panorama stitching treatment subsystem, wherein the unmanned aerial vehicle carries a remote sensor to acquire remote sensing information, an information transmission device in the information transmission and ground safeguard subsystem is used for transmitting the state of the unmanned aerial vehicle, the state of a pan-tilt, the state of the remote sensor and control signals and downloading images, a ground safeguard device in the information transmission and ground safeguard subsystem is used for transporting and storing system devices and providing comprehensive ground safeguard for the system devices, and the panorama stitching treatment subsystem is used for achieving automatic panorama stitching of downloaded image information and real-time monitoring. The system ensures that the monitoring device can be used by nonprofessional users conveniently, is easy to operate, can be applied to various industries, and has the advantages that deployment is convenient, maneuverability is high, and the real-time property of information is high.
Owner:BEIJING RES INST OF SPATIAL MECHANICAL & ELECTRICAL TECH

Building fire situation assessment and personnel evacuating indication method and system

The invention discloses a building fire situation assessment and personnel evacuating indication method and system. The building fire situation assessment and personnel evacuating indication method includes steps: monitoring fire information timely and calculating fire source position information, fire source intensity information and fire development situation information according to the fire information; estimating personnel position information in all areas in a building and personnel density distribution in all the areas; and calculating a best evacuating direction and a best evacuating path according to the fire source position information, the fire source intensity information, the fire development situation information, the personnel position information and the personnel density distribution information in all the areas in the building and the building structure information. By adopting the building fire situation assessment and personnel evacuating indication method and system, a practicable solution is provided for personnel evacuating based on disaster development situation in the building by sufficiently using the modern techniques such as sensing, communication, calculating and decision making, and decision making and evacuating efficiencies are improved.
Owner:上海日浦信息技术有限公司

A hot news sharing method based on geographical information, an apparatus and a system

The invention relates to the technical field of mobile computing, and provides a hot news sharing method based on geographical information, an apparatus and a system. The method comprises the following steps: the geographical information of users is obtained; positioning is carried out on the users; news events around the users are searched and pushed to the users; if news published by the users is received, the news is bound to the position of a publisher and is stored; and steps such as positioning are executed after timed updating of the geographical information of the users. In the technical scheme of the invention, through real time computing of the geographical information of the users, news publishing sites and the geographical positions of the users and/or focus of attention of the users are associated, and the hot news occurring around the users are shared to the users in real time. According to the technical scheme of the present invention, aiming at a characteristic that the mobile terminal users frequently change positions, events with high correlation degrees are timely and accurately pushed to the mobile terminal users, so that the mobile terminal users can still obtain the news in a rapid and highly efficient mode in cases that screens are relatively small, and the network access speed and flow are limited.
Owner:BEIJING YOYO TIANYU SYST TECH

Method for collecting and optimizing face image sample based on heterogeneous active visual network

The invention discloses a method for collecting and optimizing a face image sample based on a heterogeneous active visual network, wherein the optimizing process is as follows: in every Delta t time, all cameras are performed target distribution and state regulation to finish one round of target image sample collection; the process of optimizing variables in sequence is as follows: according to distribution relationship between the camera and the target, position and facing angle of the camera in a world coordinate system, and focal distance of the camera, maximizing total experience evaluation function of all targets as the optimization target and traversing target distribution plans; under each target distribution plan, adopting the genetic algorithm, solving optimization variables to enable the target evaluation function to be the maximum; selecting the best distribution plan so as to obtain the maximum total experience evaluation function. The method improves the resolution ratio and the attitude angle of the face in the image by the active visual technology, optimizes the sample collection process by the heterogeneous active visual network, obtains face image sample with good resolution ratio and rich attitude angles in order to register and identify face.
Owner:TSINGHUA UNIV
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